JP2013539087A - Monitoring system - Google Patents

Abstract

Provide a group monitoring system for dispenser compliance. The system is for a given group of interest in a given facility type. A dispenser data collection system is operatively connected to the plurality of dispensers and can provide information. The information includes a unique dispenser identifier and the number of dispenser usage events. Information from the data collection system is received and a predetermined group with which each dispenser is associated is determined. The number of dispenser use events is determined. Benchmarks corresponding to dispenser usage opportunities specific to a given group and a given time period are determined. The dispenser usage compliance index specific to a given group and a given period is determined by dividing the number of dispenser usage events for a given group and given period by a denominator equal to the benchmark.

Description

FIELD OF THE INVENTION The present invention relates to dispenser usage, and in particular, to a method of monitoring dispenser usage that can be associated with hand hygiene compliance or other dispenser usage compliance.

Background of the Invention
The expansion of health care acquired infections, also known as HAI, is an ever-increasing challenge in medical facilities. HAIs are bacteria, viruses, and other pathogenic microorganisms from different sources, such as patients or environmental surfaces, through the hands of health care workers to other patients or surfaces that result in the infection of previously uninfected patients. Including propagation. These problems have become more apparent in recent years due to SARS (severe acute respiratory syndrome) pandemic and influenza A virus H1N1 pandemic. Medical facilities have also struggled for years with MRSA (methicillin-resistant staphylococcus aureus) and VRSA (vancomycin-resistant staphylococcus aureus) and other drug-resistant microorganisms. Therefore, there is a need for medical professionals to ensure adherence to the best practices of hand hygiene. Hand hygiene can be performed using a liquid such as a disinfecting product that does not require water or water washing, or can be performed using soap and water.

  There are also other types of liquids that can be dispensed, such as sunscreens, and the use of sunscreens requires a way to monitor, track and report as well. For example, such a method could be very important in Australian schools where the incidence of skin cancer is very high.

  In a first aspect, a plurality of dispensers are provided and operably connected to each dispenser that can provide information including a unique dispenser identifier for each dispenser and the number of dispenser usage events each dispenser has been used for. Providing a dispenser data collection system; receiving information from the data collection system; determining a predetermined group to which each dispenser is associated; and number of dispenser usage events within a predetermined group within a predetermined period of time Determining a benchmark corresponding to a dispenser usage opportunity specific to a given group and a given period, and dividing the number of dispenser usage events for a given group and given period by a denominator equal to the benchmark By a given group and a given A group monitoring system for dispenser compliance within a given group of interest at a given facility type is provided, including calculating a time-specific dispenser usage compliance index.

  The number of dispenser usage events within a given period may be equal to the number of times the dispenser has been activated, but multiple actuations within a given activation period are considered a single dispenser use event. The predetermined operating period is usually between 1 and 4 seconds.

  The information may include the type of product in the dispenser, which is typically one of hand soap, disinfectant, lotion, cream, sunscreen, and body wash.

  The predetermined period may be one of a work number, a weekday, a weekend, and a holiday for each of the predetermined groups in the predetermined facility type.

  The benchmark may vary depending on the predetermined facility type. The predetermined facility type may be one of a medical facility, a food processing facility, a food service facility, an educational facility, and a manufacturing facility. Alternatively, the given facility type is one of an educational research hospital, non-educational research hospital, long-term care facility, rehabilitation facility, independent surgical center, medical specialist clinic, dental clinic, veterinary facility, and community care facility be able to.

  Similarly, the benchmark may vary depending on a given group of interest. The specified groups of interest are medical department, surgery, critical care room, intensive care room, emergency room, pediatrics, emergency room, outpatient department, specialized medical department, dermatology, endocrinology, gastrointestinal department, internal medicine, oncology department , Neurology, orthopedics, ophthalmology, otolaryngology, neonatal, obstetrics / gynecology, cardiology, psychiatry, postoperative recovery room, radiology, plastic surgery, and urology. The predetermined group may be one of a hospital bed, a hospital room, a ward, a department, a floor, a facility, and a hospital group.

  The denominator benchmark may be multiplied by the census data. Census data includes bed utilization in a given group, number of patient days in a given group, number of patient visits in a given group, number of bed treatment hours in a given group, and number of staff in a given group. It can be one of.

  A group monitoring system for dispenser usage compliance may include determining a hand hygiene compliance index. The hand hygiene compliance index may include only information from the dispenser usage status, and may include weighted information from the dispenser usage compliance index and from one of the survey compliance data or direct observation compliance data. . Alternatively, the hand hygiene compliance index includes weighted information from the dispenser usage compliance index, from survey compliance data, and from direct observation compliance data.

  The dispenser data collection system may use a system with a frequency selected from the group consisting of between 400-450 MHz, between 850-950 MHz, and between 2.4-2.5 GHz. Alternatively, the dispenser data collection system can be a hard wiring system.

  The dispenser data collection system may use a system with a frequency between 850-950 MHz and has a transmit power up to 1000 milliwatts. The dispenser data collection system may include multiple hubs for receiving data from multiple dispensers. Each hub receives data from one or more dispensers, and the distance between each dispenser and the hub associated with the dispenser is 5740 feet or less. The data may be encrypted.

  In another aspect, a group monitoring system for collecting dispenser usage data receives data from a plurality of dispensers, each of which is operably attached with a sensor for collecting data from the dispenser, and the plurality of dispensers. The data is transmitted between 850 and 950 MHz.

  The data may be encrypted. Each dispenser may have a power usage of up to 1000 milliwatts.

  Additional features of the present invention are described in or will become apparent from the following detailed description.

The invention will now be described, by way of example only, with reference to the accompanying drawings.
1 is a schematic diagram illustrating five points in time for hand hygiene in a medical facility. FIG. 6 is a graph showing pediatric compliance indices compared to facility goals and hospital aggregates. It is a graph which shows the compliance index of an intensive care unit compared with an institutional target and a hospital total. 2 is a flow diagram illustrating various methods for calculating a hand hygiene compliance index. FIG. 6 is an example dashboard showing an example of how information can be presented to a user. It is a figure which shows a wired dispenser data collection system. FIG. 7 shows a wireless dispenser data collection system similar to that shown in FIG. 3 is a flow diagram illustrating steps in a low frequency, low power wireless dispenser data collection system. 3 is a flow diagram illustrating steps in a high frequency high power wireless dispenser data collection system. FIG. 2 illustrates a low power and low frequency dispenser data collection system over a specific area. FIG. 11 shows a high power and high frequency dispenser data collection system on the same specific area covered in FIG.

DETAILED DESCRIPTION OF THE INVENTION Assessing compliance with hand hygiene compliance guidelines by health care workers is not straightforward. There are no proven standards or benchmarks that can be used. However, it is quite clear that hand hygiene compliance needs to be monitored and evaluated. Therefore, it is necessary to determine whether or not the hand hygiene behavior has been performed when the hand hygiene behavior is instructed. Five time points for hand hygiene behavior in a medical facility are shown in FIG. These five points in hand hygiene were developed by the World Health Organization. Hand hygiene behavior can be disinfecting with a disinfecting product that does not require water or water washing, or it can be soap and water.

  As used herein, the term “hub” refers to any network device capable of sending and receiving packets of information, usually an Ethernet hub, network as described in the computer network literature. It should not be construed to be limited to just hubs or repeater hubs.

  As used herein, the phrase “operably connected” or “operably attached”, eg, “X is operably connected to Y” or “X is Y operative `` Possibly attached '' etc. means that X and Y can influence each other causally in operation, but X and Y are not necessarily physically connected or physically attached It is not always done. In this phrase, the terms “connected” and “attached” should be interpreted in an operational sense, not necessarily in a physical sense. For example, if X and Y are devices that can transmit packets to each other directly or via a network, X and Y are operatively connected. As another example, X and Y can operate if X is a device, Y is a sensor, and Y can sense one or more events that occur as a result of the operation of X. It is connected to the.

  Referring to FIG. 1, five time points for hand hygiene behavior are shown generally at 10. Specifically, these are 12 before patient contact, 14 before aseptic work, 16 after body fluid exposure risk, 18 after patient contact, and 20 after contact with the patient's surrounding environment. When thinking about compliance, if a health care worker cleans or disinfects his / her fingers only 6 out of 10 times that the worker should wash or disinfect his / her fingers, The compliance rate is indicated.

  There are several ways to assess compliance: direct observation, remote observation, self-reporting, and dispenser usage data or product usage data. Each method has its own benefits and challenges. Specifically, direct observation provides specific information about hand hygiene behaviors, techniques, and symptoms. However, the effort and resources required to collect such data are intensive. In general, when this type of data is collected, it is collected only for a small number of specimens across hand hygiene opportunities, and thus this type of data usually has only a low level of statistical confidence. Data is sensitive to bias by collecting too many or fewer samples from a particular work number and family. There are also problems with inter-rater (observer) reliability, and it has therefore been shown that it is difficult to compare results from one observer or evaluator with results from another observer or evaluator .

  It has also been shown that if a person knows he is being seen or examined, the compliance rate is very likely to be unnaturally higher than it actually is. This is called the Hawthorn effect. Evidence supporting this is found in a 2009 German study that compared product usage data with direct observation data and found that the direct observation compliance rate was 2.75 times higher than the compliance rate for product usage. Thus, product usage is being accepted by experts as a more accurate measure of true compliance rate.

  The advantage of remote observation such as video is that it is relatively insensitive to bias and can operate in any department at any time of day or night. However, such methods of data collection are costly due to the installation and maintenance of video equipment and the time to review the video, and such a review is then subject to the same lack of inter-rater reliability as direct observation. I cannot escape being affected. In addition, remote viewing can be affected by bias based on video position. In addition, privacy issues with respect to video location may occur.

  With respect to self-reporting options, this has the advantage of being low-cost and encourages healthcare professionals to be aware of hand hygiene. However, in general, this type of data collection is unreliable, and most experts in this field consider this method rather rather valuable.

  In a typical medical environment, hand hygiene liquids are stored and dispensed from the dispenser onto the hand surface, so there is a direct correlation between the use or activation of the dispenser and the hand hygiene event taking place. There is. The dispenser usage data can provide the amount of product used per patient per day or the number of times the dispenser was used per patient per day. This has the advantage of being cheaper to monitor. Furthermore, it provides a general usage measure and is not affected by selection bias. However, this data does not provide feedback on symptoms or techniques. Furthermore, this data does not identify individual staff members with poor performance. There are several additional advantages to assessing dispenser usage. Specifically, in addition to being less costly, it is less resource intensive and is therefore more efficient than observation. This can also be done manually or electronically. This allows organization-scale trends to be tracked over a period of time. This can be designed to be inconspicuous and take up almost no extra space. Dispenser usage can be easily assessed 24 hours a day, every day across all work numbers. This requires minimal staff training. This can be easily done in many different medical facilities.

  In aspects herein, the dispenser can determine when the dispenser has been activated. The number of dispenser usage events within a given period is equal to the number of times the dispenser has been activated, and multiple actuations within a given activation period are considered a single dispenser use event. Multiple activations within a short period of time usually mean that a single user has activated the dispenser multiple times, rather than a large number of users having activated the dispenser in close proximity to each other. Those skilled in the art will appreciate. Thus, multiple actuations within the 1-4 second period are considered a single dispenser use event. For hand soaps and hand sanitizers in medical facilities, this period is usually set to 2.5 seconds. However, if the dispenser usage is monitored at different types of facilities for different types of products, this may be set for different operating periods. Typically, the dispenser is calibrated to dispense a predetermined amount of liquid with each actuation. Thus, dispenser actuation is directly related to product usage. Accordingly, those skilled in the art will appreciate that when determining the dispenser usage compliance index, the amount used or the number of dispenser actuations could be measured.

  In one aspect, the dispenser usage compliance index is calculated using only dispenser usage. In another aspect, comprehensive hand hygiene information may be provided using a combination of two or more of dispenser usage data, direct observation data and survey data (eg, self-reported data, patient survey data, etc.). Preferably, the information should be automated and real time. In one aspect, the system should provide an automated multi-mode hand hygiene compliance report. Preferably, these reports should be able to be presented by department or department. Such automated reporting should provide hospital management with tools to give feedback on compliance, set up interventions designed to improve compliance, and reward performance improvements. It is.

  In one aspect, the hand hygiene compliance index includes a plurality of modes for determining compliance. Specifically, the index includes data from dispenser usage, observations and / or surveys. Each method is weighted and then combined to yield a single compliance index. Each method is weighted based on, for example, its statistical reliability.

  Multiple dispensers are provided at the monitored facility to determine a measure of compliance with dispenser usage. The facility may be divided into predetermined groups of interest. Facilities include educational research hospitals, non-educational research hospitals, long-term care facilities, rehabilitation facilities, independent surgical centers, medical specialist clinics, dental clinics, veterinary facilities, and community care facilities, as well as hand hygiene compliance is an important issue Medical equipment. Alternatively, the systems herein may be used in any facility where hand hygiene needs to be monitored, such as various stages of food preparation, including slaughterhouses, prepared food preparations, and restaurants. The monitoring system could also be used to monitor the compliance of dispensing lotion applications such as sunscreens.

  In order to determine dispenser compliance, benchmarking is required for the number of hand hygiene events and a given area or group and a given time. Dispenser usage compliance is the number of dispenser usage events divided at least in part by the denominator including the benchmark. Benchmarks are specific to a given group and specific to a given time period. The usage situation may be evaluated for each dispenser within a given group in real time in practice, and the captured data is transmitted by electronic means. Although the amount of time required for data to travel from the dispenser through the hub to the server (described below) is limited, it should be possible to equip this so that messages are sent very frequently. It will be appreciated by those skilled in the art. Access to reports is usually available 24 hours a day, but reports are most likely to be presented daily or less frequently, and more likely to be presented weekly or monthly. is there. However, if a specific outbreak occurs in the ward, it should be possible to monitor dispenser usage more frequently by accessing reports on demand. The number of hand hygiene events within a given period is equal to the number of times the dispenser has been activated, and multiple actuations within a given activation period are considered as one dispenser usage event. It is not uncommon for someone to use a dispenser system to actuate the dispenser multiple times rather than just once. Thus, the number of times the dispenser is activated is determined to accurately determine the correct number of dispenser use events. However, if multiple actuations occur within a predetermined actuation period, it is considered a single dispenser use event. The benchmark is the number of times a dispenser should have been used for a given group over a given period.

  When dispenser compliance is related to hand hygiene compliance within a healthcare facility, the benchmark relates to five points of hand hygiene for a given group over a given period of time. In order to determine a benchmark for a given area and time, it is necessary to determine the number of hand hygiene practices to be performed per patient for a given area and time. This is done with reference to the five points of hand hygiene shown in FIG. Those skilled in the art will appreciate that the benchmark varies with the number of variables. For example, if the medical facility is an educational research facility, it is likely that more medical professionals will need to see the patient, and therefore the benchmark may be higher. The benchmark may vary depending on whether the predetermined period is a night shift or a day shift, a weekday, a holiday or a weekend. Benchmarks are likely to change depending on the type of family. For example, intensive care units are likely to have a higher benchmark than orthopedics. The denominator can depend on the census data. Specifically, the benchmark is multiplied with the census data to determine the denominator. For some medical facility departments or predetermined groups of interest, the census data is bed utilization. Depending on the health care facility or individual department of the health care facility, the census data may always be close to 100%, and this may vary significantly. In other departments, such as emergency rooms and outpatient departments, the census data can also be the number of patients examined during that work number or over a predetermined period. Moreover, it can also be set as the number of bed treatment hours provided during the said predetermined period.

  Furthermore, those skilled in the art will appreciate that the benchmark may be determined by experimentation or other means by a medical facility and may be provided with a default benchmark provided to the user by a dispenser provider or central authority. It will be.

The following are some of the categories that can be used to determine the correct benchmark. The following groups or types related to medical facilities and types of departments within the medical facilities are location labels for the Center for Disease Control (CDC) and are just examples. One skilled in the art will appreciate that there are several different ways of distinguishing departments within a medical facility.

Facility Type-Medical Hospital-Non-educational Research Hospital-Educational Research (attached to the School of Medicine) Rehabilitation Facility Long-term Treatment Facility Independent Surgery Center Clinic / Medical Clinic Dental Clinic Veterinary Clinic

Facility Type-Non-Medical School / Education Correction Military Food Service (Restaurant, etc.)
Food processing (food manufacturers, etc.)
Pharmaceutical Commercial buildings / organizations (manufacturers where workers must apply protective cream on a daily basis)
Other facilities where there are concerns about the spread of infection by fingers

Adult Severe Care Room Severe Burn Treatment Medical Severe Care Medical Severe Treatment Medical / Surgery Severe Treatment Neurological Severe Treatment Neurosurgery Severe Prenatal Severe Respiratory Severe Treatment Surgical Cardiothoracic Severe Surgery Severe Severe Severe Treatment

Pediatric Severe Care Unit Pediatric Severe Severe Treatment Pediatric Cardiothoracic Severe Treatment Pediatric Severe Treatment Pediatric Medical / Surgery Severe Treatment Pediatric Neurology Severe Treatment Pediatric Neurosurgery Severe Treatment Pediatric Severe Surgery Severe Surgery Severe Treatment Trauma Severe Treatment

Neonatal Department Well Baby Nursery (Level I)
Step down Neonatal ICU (Level II)
Neonatal severe treatment (level II / III)
Neonatal severe treatment (level III)

Inpatient specialty medical area Long-term acute care (LTAC)
Bone marrow transplant medical area Acute blood purification department Hematology / oncology medical area Real organ transplant medical area Pediatric bone marrow transplant medical area Pediatric blood purification medical area Pediatric hematology / oncology medical area Pediatric long-term acute treatment Pediatric Real organ transplantation medical area

Inpatient adult ward Prenatal care ward Burn ward Behavioral hygiene / psychiatric ward Gastroenterology ward Gastroenterology ward Geriatric ward Urogenital ward Gynecology ward Prison ward Delivery childbirth ward Delivery, childbirth, recovery, postpartum room (LDRP)
Medical Ward Medical / Surgery Ward Mixed Symptom Ward Mixed Age, Mixed Symptom Ward Neurology Ward Neurosurgery Ward Ophthalmology Ward Orthopedic Trauma Ward Orthopedic Ward Plastic Surgery Ward Postpartum Ward Respiratory Ward Rehabilitation Ward School Medical Office Surgical Ward Stroke (Acute) ) Ward Telemetry Ward Vascular Surgery Ward

Inpatient Pediatric Ward Adolescent Behavioral Health Pediatric Burning Ward Pediatric Behavioral Health Pediatric Otorhinolaryngology Pediatric Urogenital Medical Pediatric Ward Pediatric Medical / Surgical Ward Pediatric Mixed Symptoms (If the patient is of mixed age, listed in the Inpatient Adult Ward Use mixed age)
Pediatric Neurology Ward Pediatric Neurosurgery Ward Pediatric Orthopedic Ward Pediatric Rehabilitation Ward Pediatric Surgical Ward

Step-down room Step-down room Pediatric step-down room

Operating room Cardiac catheter room / room Cesarean room / room Interventional radiology Operating room / room Recovery room / recovery room after anesthesia

Long-term care Hospitalized hospice Long-term care department Long-term care Alzheimer department Long-term care behavioral hygiene / psychiatry Ventilator-dependent department Long-term care rehabilitation department

Laboratory identification event (LabID) only Inpatients throughout the facility Outpatients throughout the facility

Other areas Number of beds in all hospitalized patients Float
Sleep survey (for inpatients and outpatients) Lung function test Transport service Treatment room

Outpatient location acute treatment facilities
24-hour observation area Outpatient surgery center Outpatients throughout the facility Mobile emergency services / EMS
Outpatient Emergency Department Outpatient Pediatric Surgery Center Outpatient Plastic Surgery Center Outpatient Surgery Recovery Room / Post-Anesthesia Recovery Room Pediatric Emergency Department Apheresis Department Emergency Treatment Center

Clinic (non-acute) facilities Allergy clinic Behavioral hygiene clinic Blood collection center Cardiac rehabilitation center Heart disease clinic Urination disorder clinic Dermatology clinic Diabetes / endocrinology clinic Otolaryngology clinic Family medicine clinic Genetics clinic Gynecology clinic Holistic medicine center Hyperbaric oxygen center Infusion center Neurology clinic Occupational health clinic Occupational therapy clinic Ophthalmology clinic Orthopedics clinic Outpatient dental clinic Outpatient GI clinic Outpatient hematology / oncology Clinic Outpatient hemodialysis clinic Outpatient HIV clinic Outpatient medical clinic Outpatient rehabilitation clinic Pain clinic Pediatric behavioral health clinic Pediatric heart disease center Pediatric clinic Pediatric dental clinic Pediatric dermatology clinic Pediatric diabetes / endocrinology clinic Pediatric Gastroenterology clinic Pediatric hematology / oncology clinic Pediatric kidney disease clinic Pediatric surgery Family clinic pediatric rheumatic diseases clinic pediatric scoliosis clinic physical therapy clinic internal medicine clinic Podiatric clinic prenatal clinic respiratory clinic rheumatic diseases clinic school or a prison infirmary specimen collection area (medical)
Speech therapy clinic Preoperative and postoperative care clinic Infant clinic Wound center Wound ostomy dysuria clinic Endoscopy room Radiology, including nuclear medicine Mobile blood collection center Mobile MRI / CT

Community location Blood collection (Blood donation campaign using a blood donation vehicle)
Home nursing Home hospice Outside the facility Sample collection area (community)

Places other than patient treatment Management area
CDC location and description Living support area Blood bank Central sterilization material Central waste area Clinical chemistry Facility site General laboratory Hematology laboratory Histology / surgical pathology Housekeeping / environmental service Laundry room Microbiology laboratory Moral room / anatomy room Pharmacy Facility Facility Maintenance Center Public area in the facility Serology laboratory Contamination utility storage area Virology laboratory

Work number class Day work number-Weekday / weekend or holiday Night work number-Weekday / weekend or holiday First work number / Second work number / Third work number-Both weekdays and weekends or holidays First work number / second work number / 3rd work number / 4th work number / 5th work number-both weekdays and weekends or holidays A given time between one day

  Several different reports can also be generated after the multimodal compliance index has been calculated. The report can be used to help determine where more or different hand hygiene compliance efforts need to be implemented, such as additional training. The report can also be presented in a simple graphical format as shown in Figure 2 and Figure 3, which shows the hospital aggregate and pediatric hand hygiene index compared to goals or benchmarks. Shows the hand hygiene index of the intensive care unit compared to the hospital aggregate and target or benchmark. Figure 4 shows several different reporting options. FIG. 5 illustrates a dashboard showing a more comprehensive way of presenting information.

  One skilled in the art will appreciate that there are several different options regarding how the hand hygiene compliance index can be presented. A representation of the various ways in which the hand hygiene compliance index can be presented is shown generally at 100 in FIG. For example, the user may use a default benchmark 102 or a user-defined benchmark 104 when determining dispenser usage compliance. In the default benchmark, the hand hygiene compliance index may be the dispenser compliance index itself 106 and may include multimodal data. If the hand hygiene compliance index includes multimodal data, the dispenser compliance index may be combined with survey data108, may be combined with direct observation data110, combined with survey data and direct observation data 112. Alternatively, for user-defined benchmarks, the hand hygiene compliance index may be presented as the dispenser compliance index itself 114, may be combined with survey data 116, may be combined with direct observation data 118, survey data And may be combined 120 with direct observation data. If the dispenser usage compliance index is combined with other data, the data is weighted when combined to provide a hand hygiene compliance index.

式中、
e＝終了日付
s＝開始日付
イベント＝実際の手指衛生イベントの数
dp＝勤番区分（例えば、第1の勤番、第2の勤番など）
センサス＝当該勤番区分の患者数
ベンチマーク＝当該勤番区分についての予期される作動回数
w1＝特定の構成要素の重み付け。w1＋w2＋w3の合計は正確に1でなければならない。
w2＝特定の構成要素の重み付け。w1＋w2＋w3の合計は正確に1でなければならない。
w3＝特定の構成要素の重み付け。w1＋w2＋w3の合計は正確に1でなければならない。
直接観察法＝観察された手指衛生コンプライアンス。コンプライアンスの％を表す0から100の間の整数。
患者調査法＝患者調査手指衛生コンプライアンス。コンプライアンスの％を表す0から100の間の整数。
分子は、所定の期間の間のイベント数の合計である。
分母は、所定の期間についての予期される手指衛生イベントの総数を表す。
分母を計算するには、まず、ある勤番区分についてのセンサスを取り、それを当該勤番区分についてのベンチマークで乗算する。これは、当該勤番区分についての予期されるイベント数をもたらす。次いで、所定の期間にわたる勤番区分ごとの予期されるイベント数が合算され、その結果、開始時刻と終了時刻とで定義される期間についての予期される総作動回数が得られる。
重み付けは、重み付けを、構成要素の手指衛生コンプライアンスで乗算することによって適用される。
手指衛生コンプライアンスの計算には以下の3つの場合がある。
1）ディスペンサ作動
この場合、w1は1と等しく、指数には観察または調査による手指衛生構成要素がない。
2）ディスペンサ作動、および調査データまたは観察データのいずれか一方
この場合、w1とw2またはw3との合計は1になり、指数は、重み付けをコンプライアンス構成要素で乗算することにより計算される。例えば、ある期間にわたりグループモニタリングシステムによって記録された手指衛生コンプライアンスは、0.8の重み付けで90である。患者調査コンプライアンスは、0.2の重み付けで70である。HHCI（手指衛生コンプライアンス指数）の計算に観察データは使用されない。記録された手指衛生コンプライアンスは、90×0.8すなわち72であり、患者調査手指衛生コンプライアンスは、70×0.2すなわち14である。この期間の手指衛生コンプライアンス指数は86、すなわち、72＋14である。
3）ディスペンサ作動、および患者調査コンプライアンスデータと観察コンプライアンスデータの両方
この場合、w1＋w2＋w3の合計は1になり、指数は、重み付けをコンプライアンス構成要素で乗算することにより計算される。例えば、ある期間にわたりグループモニタリングシステムによって記録された手指衛生コンプライアンスは、0.6の重み付けで90である。患者調査コンプライアンスは、0.2の重み付けで70であり、観察データコンプライアンスは、0.2の重み付けで70である。記録された手指衛生コンプライアンスは、90×0.6すなわち54であり、患者調査手指衛生コンプライアンスは、70×0.2すなわち14であり、観察コンプライアンスは、70×0.2すなわち14である。この期間の手指衛生コンプライアンス指数は82、すなわち、54＋14＋14である。 The hand hygiene compliance index (HHCI) may be expressed as a formula. The number of hand hygiene events or dispenser usage events is used to calculate the HHCI or dispenser usage compliance index. An event is the same as a single dispenser operation, except when multiple operations occur within a predetermined operation period. The predetermined operating period is between 1 and 4 seconds, preferably 2.5 seconds. When a plurality of operations occur within a predetermined operation period, the total number of operations generated within the predetermined operation period constitutes one hand hygiene event. In that case, for example, a plurality of operations within 2.5 seconds are recorded as one event accompanied by n operations. Events are those used for HHCI molecules.
(\ Frac {\ sum_ {s} ^ {e} event} {\ sum_ {s} ^ {e} (census_ {dp} * benchmark_ {dp})} * w_1) + (observation * w_2) + ( (Survey * w_3)

Where
e = end date
s = start date event = actual number of hand hygiene events
dp = work number classification (eg, first work number, second work number, etc.)
Census = number of patients in the part number benchmark = expected number of operations for the part number
w1 = weight of a specific component. The sum of w1 + w2 + w3 must be exactly 1.
w2 = weight of a specific component. The sum of w1 + w2 + w3 must be exactly 1.
w3 = weight of a specific component. The sum of w1 + w2 + w3 must be exactly 1.
Direct observation method = observed hand hygiene compliance. An integer between 0 and 100 representing the percentage of compliance.
Patient Survey Method = Patient Survey Hand Hygiene Compliance. An integer between 0 and 100 representing the percentage of compliance.
The numerator is the total number of events during a given period.
The denominator represents the total number of expected hand hygiene events for a given period.
To calculate the denominator, first, a census for a certain work number section is taken, and this is multiplied by a benchmark for that work number section. This results in the expected number of events for that duty number category. The expected number of events for each work number segment over a given period is then summed, resulting in the expected total number of operations for the period defined by the start time and end time.
The weighting is applied by multiplying the weighting by the hand hygiene compliance of the component.
There are three cases in calculating hand hygiene compliance:
1) Dispenser operation In this case, w1 is equal to 1, and the index has no hand hygiene component by observation or investigation.
2) Dispenser activation and either survey or observation data In this case, the sum of w1 and w2 or w3 is 1, and the index is calculated by multiplying the weight by the compliance component. For example, the hand hygiene compliance recorded by the group monitoring system over a period of time is 90 with a weight of 0.8. Patient survey compliance is 70 with a weight of 0.2. Observation data is not used to calculate the HHCI (Hand Hygiene Compliance Index). The recorded hand hygiene compliance is 90 x 0.8 or 72, and the patient survey hand hygiene compliance is 70 x 0.2 or 14. The hand hygiene compliance index for this period is 86, or 72 + 14.
3) Dispenser activation and both patient study compliance data and observation compliance data In this case, the sum of w1 + w2 + w3 is 1, and the index is calculated by multiplying the weight by the compliance component. For example, the hand hygiene compliance recorded by the group monitoring system over a period of time is 90 with a weight of 0.6. Patient survey compliance is 70 with a weight of 0.2 and observation data compliance is 70 with a weight of 0.2. The recorded hand hygiene compliance is 90 x 0.6 or 54, the patient survey hand hygiene compliance is 70 x 0.2 or 14 and the observation compliance is 70 x 0.2 or 14. The hand hygiene compliance index for this period is 82, or 54 + 14 + 14.

  One skilled in the art will appreciate that there are a wide variety of ways in which information can be presented. An example dashboard is shown at 130 in FIG. The example dashboard includes a usage 132, a summary report 134, and a specific dispenser usage table 136.

  Each dispenser has a unique identifier, which may be associated with a soap dispenser or a disinfectant dispenser. It can be important to distinguish hand hygiene events using soap and hand hygiene events using disinfectants. This should be especially important for certain outbreaks that require soap in the facility, rather than disinfectant, such as the pathogenic microorganism Clostridium difficile (also called C. difficile), or disinfectant instead of soap. This is the case. C. difficile is the most difficult to eliminate in the form of spores, and can usually be removed from the fingers only by hand washing, a trust supporting the assumption that hand sanitizers are not effective in killing C. difficile spores There is data that can be done.

  A system may be designed that allows the facility to adjust the benchmark or use a benchmark of its own choice. Those skilled in the art will appreciate that a facility can generate a wide range of reports. For example, a facility could generate department-by-family, hospital-by-hospital reports, and could compare departments and departments, departments and hospitals, or hospitals and hospitals. One skilled in the art will also appreciate that dispenser usage data may be integrated with the purchasing department of the facility.

  The system may be connected using a wired system as shown at 30 in FIG. 6 or in a wireless system as shown at 50 in FIG. In the wired system 30, the dispenser 32 is connected to the hub 34 and / or the gateway 36. The gateway is connected to a data verification server 38, which is further connected to a hand hygiene compliance index calculation server 40. One skilled in the art will appreciate that the data matching server 38 may include one or more computers.

  Similarly, in the wireless system 50, the dispenser 52 is wirelessly connected to the hub 54 and / or the gateway 56. The gateway is preferably wirelessly connected to the data verification server 58 over the Internet by GSM (Global System for Mobile Communications) or other communication standards and network protocols. The data verification server 58 is connected to the hand hygiene compliance index calculation server 60. Those skilled in the art will appreciate that the data matching server 58 and the hand hygiene compliance index calculation server 60 may be the same server. Each dispenser 52 preferably incorporates a sensor that can store data for up to 100 or more actuations. One skilled in the art will appreciate that 100 is only an example, and typically each dispenser only needs to store data relating to several actuations. This minimizes the possibility of data loss when entering the event queue for reception by the hub. Data is transmitted between the dispenser 52 and the hub 54 and between the hub 54 and the gateway 56 as time or memory dependent bursts. Preferably, the data is transmitted from the gateway 56 to the server 58 as GSM bursts. Data may be sent to offsite server 60 for data processing.

  Although the network is described as a plurality of network devices including a hub and a gateway, other network devices may be used. Some non-limiting examples include wireless hubs, Ethernet hubs, repeater hubs, switches, Ethernet switches, bridges, routers, Ethernet routers, wireless routers, gateway routers. included.

  Those skilled in the art will appreciate that packets may be transmitted using any number of protocols within the aforementioned network. Optionally, the packets may be sent according to the Internet Protocol Suite (IPS), which is often referred to as TCP / IP, Transmission Control Protocol (TCP) and Internet Protocol ( IP: Internet Protocol). Compared to alternative protocols, this scheme moves much of the network complexity to the edge of the network, ie each dispenser and server. When using this scheme, the dispenser may send packets by either TCP or UDP (User Datagram Protocol), but other transport layer protocols may be used within the IPS specification.

^* 200uV/mは、変換した場合、約-10dBmにあたる。 Alternatively, packets sent between the dispenser, hub, and gateway may have a different definition format than specified in the IPS specification, and will eventually be IPS compatible when sent to the offsite server 60. It may be repackaged into packets. It may be desirable to use an Internet protocol suite for transmitting information off-site. This is because existing Internet network infrastructure can be used for transmission. There are several different considerations when designing a wireless system. Specifically, the frequencies that are generally available for “unlicensed” transmission are limited. The “unlicensed” frequencies available in each country can vary. “Unlicensed” frequencies have a wide range of uses, such as tag security systems in retail stores, garage remote controls, WiFi networks, and many RFID tags (Radio Frequency Identification Device Tags). Preferably, the systems described herein use “unlicensed” frequencies. For example, US Federal Regulations Title 47 Part 15 provides for the use of “unlicensed” transmitters within the United States. Specifically, the following table shows commonly available frequencies and associated power levels.

^* 200uV / m is equivalent to about -10dBm when converted.

In contrast, the European wireless communication rules are summarized in R & TTE (Directive 1999/5 / EC) and are supported by CEPT Recommendation 70-03. Compliance with the R & TTE directive can be achieved in two ways, the first is through the application of “Harmonized Standards” and the second is the certification body approval (Notified Body Approval) It is because. The table below is based on recommendation CEPT70-03 and harmonized standards EN300-220 and EN300-440.

  The frequency and power chosen will affect the design of the system. A flow diagram illustrating the steps performed in a low frequency (between 400 and 450 MHz) low power (up to 10 mW) wireless system is shown generally at 70 in FIG. A similar flow diagram for a higher frequency (between 850-950 MHz) and higher power (up to 1 W) wireless system is shown generally at 140 in FIG.

  A flow diagram showing the steps implemented in a low frequency (between 400 and 450 MHz) low power (up to 10 mW) wireless system is shown generally at 70 in FIG. After a dispenser use event occurs, dispenser 52ID is sent 72 to every hub 54 within the transmission distance. Upon receipt of the dispenser ID transmission, the hub (s) responds with an acknowledgment 74. This is also called “handshake”. If the dispenser has not received an acknowledgment, the dispenser will retry until it is successfully received. The hub adds dispenser date and time stamps to generate dispenser usage data. Each hub 54 forwards dispenser usage data 76 through the hub network unit and the data reaches the gateway 56. Each successive hub 54 in the chain notifies 78 of receipt of dispenser usage data from the previous hub. If the originating hub has not received an acknowledgment, the originating hub will retry until it is successfully received. Hub 54 within the transmission distance of the gateway transmits 80 dispenser usage data to the gateway. When gateway 56 captures the operational data, it sends an acknowledgment back to the originating hub (s) 82. If the originating hub has not received an acknowledgment, the originating hub will retry until it is successfully received. The gateway 56 collates all data received from the rest of the system into a predetermined format transmission packet. The predetermined format may specify a predetermined size or a predetermined header size. These data packets are transmitted 84 to the data verification server. Preferably, the data is transmitted to the matching server 58 over the Internet, preferably by GSM. When the data verification server 58 receives or captures the data packet, an acknowledgment is returned 86 to the gateway. If gateway 56 has not received an acknowledgment, gateway 56 will retry until it is successfully received. This type of system is often called a mesh network.

  It will be appreciated that such an acknowledgment may be a dedicated packet and may be included at a specified offset in the header of the packet.

  Alternatively, an acknowledgment may be returned from the server to the dispenser rather than between each hub and dispenser. In this scheme, each hub should forward the acknowledgment packet to its addressed location, such as a dispenser or server.

  Alternatively, a higher frequency (between 850 and 950 MHz), higher power (up to 1 W) radio system is shown generally at 140 in FIG. At setup time, the dispenser 52 sends a request for hub ID (identification) and time update 142 to the nearest hub 54. Hub 54 responds with the requested information 144 and this response is synchronized to the dispenser. If the dispenser has not received a response, the dispenser will retry until normal synchronization is achieved. After the setup is complete and a dispenser usage event has occurred, the dispenser 52 sends 146 dispenser data including the dispenser ID, usage date, and dispenser usage event to the synchronized hub 54. Upon receipt of dispenser data, the hub responds with an acknowledgment 148. Acknowledgments include time updates. This is also called “handshake”. If the dispenser has not received an acknowledgment, the dispenser will retry until it is successfully received. Each hub collates the data received from each dispenser to form a transmission packet of a predetermined size (a predetermined number of bytes) 150. The data packet is then transmitted through the hub network to reach the gateway 56. Upon receiving the data packet, the receiving hub returns an acknowledgment to the originating hub 152. This acknowledgment also includes a time update. If the originating hub has not received an acknowledgment, the originating hub will retry until it is successfully received. Hub 54 within the transmission distance of gateway 56 transmits 154 the data packet to the gateway. When the gateway captures the data packet, it sends back an acknowledgment 156 to the originating hub. This acknowledgment includes a time update. If the originating hub has not received an acknowledgment, the originating hub will retry until it is successfully received. The gateway collates all data received from the rest of the system into a transmission packet 158 of a predetermined size (number of bytes). This data packet is then transmitted by GSM to the data collection server 58. Upon capturing the data packet, the data verification server returns 160 an acknowledgment to the gateway. This acknowledgment also includes a time update. If gateway 56 has not received an acknowledgment, gateway 56 will retry until it is successfully received. This type of system is often called a mesh network.

  Referring to FIGS. 10 and 11, examples of dispenser data collection systems are shown at 90 and 96, respectively. A plurality of dispensers 52 are positioned around the department of the facility being monitored. A plurality of receivers or hubs 54 are positioned within the dispenser around the family so that each dispenser is within the scope of at least one receiver. As described above, each dispenser 52, when used, transmits its unique identification code, date and time to one or more hubs 54, which in turn send the data to the gateway 56 and then to the server. Transmit to 58. Typically, in large facilities, the system uses a mesh network. At each stage of data transmission, a "handshake" between the sender and receiver, whether it is a dispenser and hub, hub and hub, hub and gateway, gateway and server. Is done. The handshake confirms that data has been received and instructs the dispenser to delete information from the memory. Server 36 may be on-site or off-site.

  Thus, there are several competing interests when designing the system herein for use in medical facilities such as hospitals. Specifically, the system is self-powered by multiple (possibly 100 or 1000) self-powered users who need to reliably transmit usage data wirelessly around messy hospital buildings that spread randomly Requires (battery powered) actuation sensors and data is transmitted to the Internet via GSM link (s) for external data manipulation. Each sensor battery is preferably long-lived (5 years or more), physically small (smaller than the card), and preferably has low system cost. The system preferably utilizes legitimate, unlicensed radio frequencies that do not interfere with medical equipment.

  One solution is to use low power + low cost + minimal RF interference, which utilizes a very low power transmitter (usually 0.1mw) with minimal processing power, Zigbee It suggests a system like the (registered trademark) / Z wave (registered trademark) type network architecture. This solution allows for low sensor hardware costs (currently about $ 5 / node) and that each building has an outlet-powered network that serves as a “backbone” for communication and data processing. Need. With knowledge of radio frequency propagation within the building, those skilled in the art should select the lowest frequency available to maximize the range of a given power output (the cost of hard wiring “backbone”). Reduce and enhance reliable communication), and therefore preferably 400-450 MHz should be selected. This should give a typical indoor range of 50 feet. Such a system is shown at 90 in FIG. For example, in a facility that requires around 4000 dispensers, 200 hubs are required as shown in FIG.

  On the other hand, according to the law, when using direct sequence spread spectrum (DSSS) at higher frequencies (868-930MHz depending on the location), higher power transmission (c.500mw) is required. Permissible. This increases the range (usually 330 feet) but also increases costs (currently around $ 11 / node) and power consumption. However, in another aspect shown at 96 in FIG. 11, it has been confirmed that reducing the density of the network backbone that uses the outlet as a power source can at least save enough to offset the increase in sensor cost. The additional power requirement due to a 5,000-fold increase in transmit power is enabled by the highly efficient firmware running in the sensor, enabled by the higher capacity microprocessor needed to make DSSS run smoothly, Can be offset. For example, by increasing unit cost and output power, this aspect significantly reduces system cost and complexity without significantly penalizing battery life (single board mounted batteries that meet space requirements are preferably Give a lifetime of more than 5 years).

  System 96 requires approximately 20 to 40 hubs with around 4000 dispensers. The distance between the dispenser and the hub can be up to 5740 feet. However, within a medical facility, this distance is typically 330 feet and can be greater than 330 feet depending on the object between the dispenser and the hub. Those skilled in the art will appreciate that the maximum number of dispensers per hub is limited by the available network bandwidth and the number of bits per address. Since each dispenser is generally less active on the network, a greater number of dispensers can be supported than a network where all devices are constantly operating. Implementing a hub that uses 8-bit addressing limits the number of dispensers connected to 255, but other implementations with more bits per address have more dispensers, for example the highest Can allow up to 10,000 dispensers. Typically, within a medical facility, each hub will receive data from around 200 dispensers. In system 96, the transmit power is up to 1000 milliwatts. System 96 may use a high level of data encryption, thereby providing a higher level of security than is possible with a low frequency system. System 96 uses a direct sequence spread spectrum transmission technique, which has a low interference rate and can operate at higher power compared to low frequency systems.

  Thus, high frequencies generally between 850 and 950 MHz are advantageous over low frequency systems generally between 400 and 450 MHz. High frequency systems use higher power and higher frequencies, contrary to conventional insights regarding this type of data distribution system. Since the dispenser uses more power, some preliminary processing can be done at the dispenser.

A group monitoring system for dispenser compliance within a given group of interest at a given facility includes the following steps:
Provide multiple dispensers,
A unique dispenser identifier for each dispenser,
Providing a dispenser data collection system operably connected to each dispenser, which can provide information including the number of dispenser usage events each dispenser has used;
Receiving information from the data collection system and determining a predetermined group with which each dispenser is associated;
Determining the number of hand hygiene events in a given group within a given period of time;
Determining a benchmark corresponding to a specific dispenser use opportunity for a given group and a given period of time;
Calculating a dispenser usage compliance index specific to a given group and a given period by dividing the number of hand hygiene events for the given group and given period by a denominator equal to the benchmark. The number of hand hygiene events within a predetermined period is equal to the number of times the dispenser has been activated, and multiple activations within a predetermined activation period are considered a single dispenser use event. It is not uncommon for someone to use a dispenser system to actuate the dispenser multiple times rather than just once. Therefore, in order to accurately determine the correct number of times the dispenser has been used, the number of times the dispenser is activated needs to be determined. However, if multiple actuations occur within a predetermined actuation period, it is considered a single dispenser use event.

  The dispenser compliance index may further include at least one of direct observation data and survey data. Data used in the dispenser compliance index is weighted. The predetermined period may correspond to a work number of a predetermined group in a predetermined facility.

  Benchmarks are very likely to vary for a given facility, the type of department within the facility, the time of day, and the day of the week. The denominator can also be the benchmark multiplied by the census data. Census data depends on the group of interest and can be bed utilization, patient days, patient visits, bed treatment hours, or staff numbers. The given group can be a bed, a room, a ward, a department, a floor, or a facility. The dispenser data collection system uses one frequency system between 400-450 MHz and 850-950 MHz. In one aspect, the dispenser data collection system uses a system with a frequency between 850-950 MHz and has a transmit power of up to 1000 milliwatts. The system further includes a plurality of hubs for receiving data from the plurality of dispensers, each hub receiving data from the one or more dispensers, and a distance between each dispenser and the hub associated with the dispenser. Is generally below 5740 feet. Data between the dispenser and the hub is encrypted.

  A group monitoring system for collecting dispenser usage data includes a plurality of dispensers and a plurality of hubs each capable of receiving data from one or more dispensers, each dispenser being associated with the dispenser. The distance to the hub is typically 5740 feet or less, and data is transmitted between 850 and 950 MHz.

  In general, the systems described herein are directed to dispenser compliance systems, such as hand hygiene compliance systems. As required, aspects of the present invention are disclosed herein. However, it is to be understood that the disclosed aspects are merely exemplary and that the invention can be implemented in a wide variety of alternative forms. The figures are not necessarily to scale, and some features may be exaggerated or minimized to show details of individual elements, with the exception of related elements so as not to obscure new aspects. Sometimes it is. Accordingly, the specific structural and functional details disclosed herein are representative only to teach those skilled in the art to use the present invention in various ways, but not as a limitation, only as a basis for a claim. Should be interpreted as a basic basis. The illustrated aspects are directed to a dispenser usage compliance system, for purposes of teaching and not limitation.

  As used herein, the terms “comprises” and “comprising” should not be construed as exclusive, but inclusive and non-limiting. Specifically, as used herein, including the claims, the terms “comprises” and “comprising” and variations thereof refer to the specified features, steps or Means that the component is included. These terms should not be interpreted as excluding the presence of other features, steps or components.

[Invention 1001]
Multiple dispensers;
A dispenser data collection system operatively connected to each dispenser capable of providing information including a unique dispenser identifier for each dispenser and the number of dispenser usage events each dispenser has been used with
In the monitoring system including
Receiving the information from the dispenser data collection system and determining a predetermined group with which each dispenser is associated;
Determining the number of dispenser usage events in the predetermined group within a predetermined period;
Determining a benchmark corresponding to a dispenser usage opportunity specific to the predetermined group and the predetermined period; and
Calculating a dispenser usage compliance index specific to the predetermined group and the predetermined period by dividing the number of dispenser use events for the predetermined group and the predetermined period by a denominator equal to the benchmark.
Monitoring dispenser compliance within a given group of interest in a given facility type
To implement.
[Invention 1002]
Providing a dispenser data collection system operatively connected to each dispenser capable of providing information including a unique dispenser identifier for each dispenser and the number of dispenser usage events each dispenser has been used;
Receiving the information from the dispenser data collection system and determining a predetermined group with which each dispenser is associated;
Determining the number of dispenser usage events in the predetermined group within a predetermined period;
Determining a benchmark corresponding to a dispenser usage opportunity specific to the predetermined group and the predetermined period; and
Calculating a dispenser usage compliance index specific to the predetermined group and the predetermined period by dividing the number of dispenser use events for the predetermined group and the predetermined period by a denominator equal to the benchmark.
Monitoring dispenser usage compliance within a given group of interest in a given facility type comprising a plurality of dispensers.
[Invention 1003]
The method of 1001 or 1002 of the present invention, wherein the number of dispenser usage events within a predetermined period is equal to the number of times the dispenser has been activated, and multiple actuations within a predetermined activation period are considered as a single dispenser usage event.
[Invention 1004]
The method of the present invention 1003, wherein the predetermined activation period is between 1 and 4 seconds.
[Invention 1005]
The method of any of the present invention 1001-1004, wherein the information further comprises the type of product in the dispenser.
[Invention 1006]
The method of any of the present invention 1001-1005, wherein the type of product in the dispenser is selected from the group consisting of hand soap, disinfectant, lotion, cream, sunscreen, and body wash.
[Invention 1007]
The method according to any one of the inventions 1001 to 1006, wherein the predetermined period is selected from the group consisting of each work number, weekday, weekend, and holiday of the predetermined group in the predetermined facility type.
[Invention 1008]
The method of any of the inventions 1001-1007, wherein the benchmark varies depending on the predetermined facility type.
[Invention 1009]
The method according to any one of the inventions 1001 to 1008, wherein the predetermined facility type is selected from the group consisting of a medical facility, a food processing facility, a food service facility, an educational facility, and a manufacturing facility.
[Invention 1010]
The predetermined facility type is selected from the group consisting of an educational research hospital, a non-educational research hospital, a long-term care facility, a rehabilitation facility, an independent surgical center, a medical specialist clinic, a dental clinic, a veterinary facility, and a community care facility. The method according to any one of the inventions 1001 to 1009.
[Invention 1011]
The method of any of the inventions 1001-1010, wherein the benchmark varies depending on a given group of interest.
[Invention 1012]
The predetermined groups of interest are medical department, surgery, critical care room, intensive care unit, emergency room, pediatrics, emergency room, outpatient department, specialized medical department, dermatology, endocrinology, gastrointestinal department, internal medicine, oncology department , Selected from the group consisting of: neurology, orthopedics, ophthalmology, otolaryngology, neonatal, obstetrics and gynecology, cardiology, psychiatry, postoperative recovery room, radiology, plastic surgery, and urology Any method of 1001-1011.
[Invention 1013]
The method of any of the present invention 1001-1012, wherein the predetermined group is selected from the group consisting of a hospital bed, a hospital room, a ward, a department, a floor, a facility, and a hospital group.
[Invention 1014]
The method of any of the present invention 1001-1013, further comprising determining a hand hygiene compliance index comprising at least a dispenser usage compliance index.
[Invention 1015]
The method of the present invention 1014, wherein the hand hygiene compliance index includes weighted information from a dispenser usage compliance index and from one of survey compliance data and direct observation compliance data.
[Invention 1016]
The method of the present invention 1014 or 1015, wherein the hand hygiene compliance index comprises weighted information from the dispenser usage compliance index, from survey compliance data and from direct observation compliance data.
[Invention 1017]
The method of any of the present invention 1001-1016, wherein the dispenser data collection system uses a system of a frequency selected from the group consisting of between 400-450 MHz, between 850-950 MHz, and between 2.4-2.5 GHz.
[Invention 1018]
The method of any of the present invention 1001-1016, wherein the dispenser data collection system is a hard wiring system.
[Invention 1019]
The method of any of the present invention 1001-1017, wherein the dispenser data collection system uses a system with a frequency between 850 and 950 MHz and has a transmission power between 10 and 1000 milliwatts.
[Invention 1020]
The method of any of the present invention 1001-1018, wherein the dispenser data collection system further comprises a network device for receiving data from the plurality of dispensers.
[Invention 1021]
The method of the invention 1020, wherein the network device is a hub.
[Invention 1022]
Network devices from wireless network devices, wireless hubs, Ethernet hubs, repeater hubs, switches, Ethernet switches, bridges, routers, Ethernet routers, wireless routers, gateways, and gateway routers The method of the present invention 1020, selected from the group consisting of:
[Invention 1023]
The method of any of the invention 1020-1022, wherein the network devices communicate wirelessly and the distance between each dispenser and the network device associated with the dispenser is 5740 feet or less.
[Invention 1024]
The method of any of claims 1020-1022, wherein the dispenser data collection system further comprises a plurality of network devices for receiving data from the plurality of dispensers.
[Invention 1025]
The method of any of the present invention 1001-11022, wherein data transmitted by a dispenser data collection system is encrypted.
[Invention 1026]
The method of any of the inventions 1001-1025, wherein the benchmark varies depending on the predetermined facility type.
[Invention 1027]
Predetermined facility types include rehabilitation facilities, educational research medical facilities, non-educational research medical facilities, chronic care medical facilities, community care facilities, schools, educational facilities, food service facilities, food processing facilities, outdoor work sites, and commercial facilities The method of any of the inventions 1001-1026, selected from the group consisting of:
[Invention 1028]
The method of any of the present invention 1001-1027, wherein the benchmark varies depending on a given group of interest.
[Invention 1029]
The designated group of interest includes medical department, surgery, critical care room, intensive care room, emergency room, pediatrics, emergency room, outpatient department, rehabilitation department, long-term medical department, specialized medical department, dermatology, endocrinology department, Gastroenterology, internal medicine, oncology, neurology, orthopedics, ophthalmology, otolaryngology, neonatal, gynecology, cardiology, psychiatry, postoperative recovery room, radiology, plastic surgery, and urology The method according to any one of the inventions 1001 to 1028, which is more selected.
[Invention 1030]
The method of any of the present invention 1001-1029, wherein the predetermined group of interest is selected from the group consisting of a bed, a room, a ward, a department, a floor, and a facility.
[Invention 1031]
The method of any of the present invention 1001-1030, wherein a denominator benchmark is multiplied by census data.
[Invention 1032]
Census data consists of bed utilization in a given group, number of patient days in a given group, number of patient visits in a given group, number of bed treatment hours in a given group, and number of staff in a given group The method of the present invention 1031 selected from the group.
[Invention 1033]
A plurality of the dispensers each operably mounted with sensors for collecting data from the dispensers;
A network device capable of receiving from one of the plurality of dispensers data including a unique dispenser identifier for each dispenser and the number of dispenser usage events in which each dispenser has been used;
A group monitoring system for collecting dispenser usage data.
[Invention 1034]
The group monitoring system of the present invention 1033, wherein the data further includes the type of product in the dispenser.
[Invention 1035]
The group monitoring system of the invention 1033 or 1034, wherein the type of product in the dispenser is selected from the group consisting of hand soap, disinfectant, lotion, cream, sunscreen, and body wash.
[Invention 1036]
Server for processing data comprising one or more computers capable of receiving data from a network device
The group monitoring system according to any one of the inventions 1033 to 1035, further comprising:
[Invention 1037]
The group monitoring system according to any of 1033 to 1036 of the present invention, wherein the network device is a hub.
[Invention 1038]
Network devices from wireless network devices, wireless hubs, Ethernet hubs, repeater hubs, switches, Ethernet switches, bridges, routers, Ethernet routers, wireless routers, gateways, and gateway routers The group monitoring system according to any one of the inventions 1033 to 1036, selected from the group consisting of:
[Invention 1039]
The group monitoring system according to any of claims 1033-1038, further comprising a plurality of network devices each capable of receiving data from one of the plurality of dispensers.
[Invention 1040]
The group monitoring system of any of the present invention 1033-1039, wherein data is transmitted at a frequency between 850-950 MHz.
[Invention 1041]
The group monitoring system of any of the invention 1033-1040, wherein the data is encrypted.
[Invention 1042]
The group monitoring system of any of the present invention 1033-1041, wherein each dispenser has a transmit power between 10-1000 milliwatts.
Additional features of the present invention are described in or will become apparent from the following detailed description.

Claims (42)

Multiple dispensers;
In a monitoring system comprising a dispenser data collection system operatively connected to each dispenser that can provide information including a unique dispenser identifier for each dispenser and the number of dispenser usage events each dispenser has been used with
Receiving the information from the dispenser data collection system and determining a predetermined group with which each dispenser is associated;
Determining the number of dispenser usage events in the predetermined group within a predetermined period;
Determining a benchmark corresponding to a dispenser usage opportunity specific to the predetermined group and the predetermined time period; and a dispenser usage compliance index specific to the predetermined group and the predetermined time period to the predetermined group and Implementing a method of monitoring dispenser usage compliance within a given group of interest in a given facility type, comprising calculating the number of dispenser usage events for the given time period by dividing by a denominator equal to the benchmark. . Providing a dispenser data collection system operatively connected to each dispenser capable of providing information including a unique dispenser identifier for each dispenser and the number of dispenser usage events each dispenser has been used;
Receiving the information from the dispenser data collection system and determining a predetermined group with which each dispenser is associated;
Determining the number of dispenser usage events in the predetermined group within a predetermined period;
Determining a benchmark corresponding to a dispenser usage opportunity specific to the predetermined group and the predetermined time period; and a dispenser usage compliance index specific to the predetermined group and the predetermined time period to the predetermined group and Monitor dispenser usage compliance within a given group of interest in a given facility type including a plurality of dispensers, including calculating the number of dispenser usage events for the given time period by dividing by a denominator equal to the benchmark. how to.   3. A method according to claim 1 or 2, wherein the number of dispenser usage events within a predetermined period is equal to the number of times the dispenser has been activated, and multiple activations within the predetermined activation period are considered as a single dispenser usage event. .   4. The method of claim 3, wherein the predetermined operating period is between 1 and 4 seconds.   The method according to any one of claims 1 to 4, wherein the information further comprises the type of product in the dispenser.   6. The method according to any one of claims 1 to 5, wherein the type of product in the dispenser is selected from the group consisting of hand soap, disinfectant, lotion, cream, sunscreen and body wash.   The method according to any one of claims 1 to 6, wherein the predetermined period is selected from the group consisting of each work number, weekday, weekend, and holiday of the predetermined group in the predetermined facility type.   The method according to any one of claims 1 to 7, wherein the benchmark varies depending on the predetermined facility type.   9. The method according to any one of claims 1 to 8, wherein the predetermined facility type is selected from the group consisting of a medical facility, a food processing facility, a food service facility, an educational facility, and a manufacturing facility.   The predetermined facility type is selected from the group consisting of an educational research hospital, a non-educational research hospital, a long-term care facility, a rehabilitation facility, an independent surgical center, a medical specialist clinic, a dental clinic, a veterinary facility, and a community care facility. 10. A method according to any one of claims 1-9.   11. A method according to any one of claims 1 to 10, wherein the benchmark varies depending on a given group of interest.   The predetermined groups of interest are medical department, surgery, critical care room, intensive care unit, emergency room, pediatrics, emergency room, outpatient department, specialized medical department, dermatology, endocrinology, gastrointestinal department, internal medicine, oncology department Selected from the group consisting of: neurology, orthopedics, ophthalmology, otolaryngology, neonatal, obstetrics and gynecology, cardiology, psychiatry, postoperative recovery room, radiology, plastic surgery, and urology The method according to any one of 1 to 11.   The method according to any one of claims 1 to 12, wherein the predetermined group is selected from the group consisting of a hospital bed, a hospital room, a ward, a department, a floor, a facility, and a hospital group.   14. The method of any one of claims 1-13, further comprising determining a hand hygiene compliance index that includes at least a dispenser use compliance index.   15. The method of claim 14, wherein the hand hygiene compliance index includes weighted information from a dispenser usage compliance index and from one of survey compliance data and direct observation compliance data.   16. The method of claim 14 or 15, wherein the hand hygiene compliance index includes weighted information from a dispenser usage compliance index, from survey compliance data, and from direct observation compliance data.   The dispenser data collection system uses a system with a frequency selected from the group consisting of between 400-450 MHz, between 850-950 MHz, and between 2.4-2.5 GHz. the method of.   17. A method according to any one of the preceding claims, wherein the dispenser data collection system is a hard wiring system.   18. A method according to any one of the preceding claims, wherein the dispenser data collection system uses a system with a frequency between 850 and 950 MHz and has a transmission power between 10 and 1000 milliwatts.   The method of any one of claims 1-18, wherein the dispenser data collection system further comprises a network device for receiving data from the plurality of dispensers.   21. The method of claim 20, wherein the network device is a hub.   Network devices from wireless network devices, wireless hubs, Ethernet hubs, repeater hubs, switches, Ethernet switches, bridges, routers, Ethernet routers, wireless routers, gateways, and gateway routers 21. The method of claim 20, wherein the method is selected from the group consisting of:   23. A method according to any one of claims 20 to 22, wherein the network devices communicate wirelessly and the distance between each dispenser and the network device associated with the dispenser is 5740 feet or less.   23. The method of any one of claims 20-22, wherein the dispenser data collection system further comprises a plurality of network devices for receiving data from the plurality of dispensers.   23. A method according to any one of claims 1 to 22, wherein data transmitted by the dispenser data collection system is encrypted.   26. A method according to any one of claims 1 to 25, wherein the benchmark varies depending on the predetermined facility type.   Predetermined facility types include rehabilitation facilities, educational research medical facilities, non-educational research medical facilities, chronic care medical facilities, community care facilities, schools, educational facilities, food service facilities, food processing facilities, outdoor work sites, and commercial facilities 27. A method according to any one of claims 1 to 26, selected from the group consisting of:   28. A method according to any one of claims 1 to 27, wherein the benchmark varies depending on the predetermined group of interest.   The designated group of interest includes medical department, surgery, critical care room, intensive care room, emergency room, pediatrics, emergency room, outpatient department, rehabilitation department, long-term medical department, specialized medical department, dermatology, endocrinology department, Gastroenterology, internal medicine, oncology, neurology, orthopedics, ophthalmology, otolaryngology, neonatal, gynecology, cardiology, psychiatry, postoperative recovery room, radiology, plastic surgery, and urology 29. A method according to any one of claims 1 to 28, wherein   30. The method of any one of claims 1-29, wherein the predetermined group of interest is selected from the group consisting of a bed, a room, a ward, a department, a floor, and a facility.   31. The method of any one of claims 1-30, wherein a denominator benchmark is multiplied by census data.   Census data consists of bed utilization in a given group, number of patient days in a given group, number of patient visits in a given group, number of bed treatment hours in a given group, and number of staff in a given group 32. The method of claim 31, wherein the method is selected from the group. A plurality of the dispensers each operably mounted with sensors for collecting data from the dispensers;
A dispenser usage data collection comprising a network device capable of receiving from one of the plurality of dispensers a unique dispenser identifier for each dispenser and the number of dispenser usage events each dispenser has been used for. Group monitoring system for.   34. The group monitoring system of claim 33, wherein the data further includes the type of product in the dispenser.   35. A group monitoring system according to claim 33 or 34, wherein the type of product in the dispenser is selected from the group consisting of hand soap, disinfectant, lotion, cream, sunscreen, and body wash. 36. A group monitoring system according to any one of claims 33 to 35, further comprising a server for processing the data, including one or more computers capable of receiving data from the network device.   The group monitoring system according to any one of claims 33 to 36, wherein the network device is a hub.   Network devices from wireless network devices, wireless hubs, Ethernet hubs, repeater hubs, switches, Ethernet switches, bridges, routers, Ethernet routers, wireless routers, gateways, and gateway routers The group monitoring system according to any one of claims 33 to 36, which is selected from the group consisting of:   The group monitoring system according to any one of claims 33 to 38, further comprising a plurality of network devices each capable of receiving data from one of the plurality of dispensers.   40. A group monitoring system according to any one of claims 33 to 39, wherein the data is transmitted at a frequency between 850 and 950 MHz.   41. A group monitoring system according to any one of claims 33 to 40, wherein the data is encrypted.   42. A group monitoring system according to any one of claims 33 to 41, wherein each dispenser has a transmission power between 10 and 1000 milliwatts.

Images